/*
 * Copyright (c) 2021, Peter Abeles. All Rights Reserved.
 *
 * This file is part of BoofCV (http://boofcv.org).
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package boofcv.alg.weights;

import boofcv.factory.filter.kernel.FactoryKernelGaussian;
import boofcv.struct.convolve.Kernel2D_F32;

/**
 * Implementation of {@link WeightPixelKernel_F32} for Gaussian kernels.
 *
 * @author Peter Abeles
 */
public class WeightPixelGaussian_F32 extends WeightPixelKernel_F32 {
	@Override
	public void setRadius( int radiusX, int radiusY, boolean odd ) {
		if (radiusX != radiusY)
			throw new IllegalArgumentException("Non-symmetric kernels are not yet supported. You can request this feature");

		int radius = radiusX;
		if (kernel == null || kernel.getRadius() != radius) {
			if (radius > 0) {
				double sigma = FactoryKernelGaussian.sigmaForRadius(radius, 0);
				kernel = FactoryKernelGaussian.gaussian2D_F32((float)sigma, radius, odd, true);
			} else {
				kernel = new Kernel2D_F32(0);
			}
		}
	}

	@Override
	public boolean isOdd() {
		return kernel.width%2 == 1;
	}
}
